The Non-geek's Guide to the DAE Platform

Lopresti, Daniel

doi:10.1109/das.2012.87

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…In terms of more generic frameworks, the Document Annotation and Exploitation (DAE) 8 platform [18], [19] consists of a repository for document images, implementations of algorithms and their results when applied to data in the repository. DAE promotes the idea of algorithms as Web services.…”

Section: Introductionmentioning

confidence: 99%

The Robust Reading Competition Annotation and Evaluation Platform

Karatzas¹,

Gómez²,

Nicolaou³

et al. 2018

2018 13th IAPR International Workshop on Document Analysis Systems (DAS)

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The ICDAR Robust Reading Competition (RRC), initiated in 2003 and re-established in 2011, has become a de-facto evaluation standard for robust reading systems and algorithms. Concurrent with its second incarnation in 2011, a continuous effort started to develop an on-line framework to facilitate the hosting and management of competitions.This paper outlines the Robust Reading Competition Annotation and Evaluation Platform, the backbone of the competitions. The RRC Annotation and Evaluation Platform is a modular framework, fully accessible through on-line interfaces. It comprises a collection of tools and services for managing all processes involved with defining and evaluating a research task, from dataset definition to annotation management, evaluation specification and results analysis.Although the framework has been designed with robust reading research in mind, many of the provided tools are generic by design. All aspects of the RRC Annotation and Evaluation Framework are available for research use.

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Section: Introductionmentioning

confidence: 99%

The Robust Reading Competition Annotation and Evaluation Platform

Karatzas¹,

Gómez²,

Nicolaou³

et al. 2018

2018 13th IAPR International Workshop on Document Analysis Systems (DAS)

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The DAE Platform: A Framework for Reproducible Research in Document Image Analysis

Lopresti

2017

Reproducible Research in Pattern Recognition

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We present the DAE Platform in the specic context of reproducible research. DAE was developed at Lehigh University targeted at the Document Image Analysis research community for distributing document images and associated document analysis algorithms, as well as an unlimited range of annotations and ground truth for benchmarking and evaluation of new contributions to the state-of-the-art. DAE was conceived from the beginning with the idea of reproducibility and data provenance in mind. In this paper we more specically analyze how this approach answers a number of challenges raised by the need of providing fully reproducible experimental research. Furthermore, since DAE has been up and running without interruption since 2010, we are in a position of providing a qualitative analysis of the technological choices made at the time, and suggest some new perspectives in light of more recent technologies and practices.

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DAE-NG: A Shareable and Open Document Image Annotation Data Framework

Lamiroy

2017

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

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The Non-geek's Guide to the DAE Platform

Cited by 3 publications

References 7 publications

The Robust Reading Competition Annotation and Evaluation Platform

The Robust Reading Competition Annotation and Evaluation Platform

The DAE Platform: A Framework for Reproducible Research in Document Image Analysis

DAE-NG: A Shareable and Open Document Image Annotation Data Framework

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